Data Mining and Reverse Engineering

Searching for semantics. IFIP TC2 WG2.6 IFIP Seventh Conference on Database Semantics (DS-7) 7–10 October 1997, Leysin, Switzerland

  • Stefano Spaccapietra
  • Fred Maryanski

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Invited Talks

  3. Data Mining

    1. Front Matter
      Pages 65-65
    2. T. S. Dillon, T. Hossain, W. Bloomer, M. Witten
      Pages 67-88
    3. M. M. Dalkilic, E. L. Roberston, D. Van Gucht
      Pages 89-104
    4. Naofumi Yoshida, Yasushi Kiyoki, Takashi Kitagawa
      Pages 105-128
  4. Reverse Engineering

    1. Front Matter
      Pages 129-129
    2. J-L. Hainaut, V. Englebert, J-M. Hick, J. Henrard, D. Roland
      Pages 131-161
    3. Zahir Tari, Omran Bukhres, John Stokes, Slimane Hammoudi
      Pages 184-216
  5. Query Languages

    1. Front Matter
      Pages 217-217
    2. Holger Riedel, Marc H. Scholl
      Pages 219-247
  6. Web Environment

About this book

Introduction

Searching for Semantics: Data Mining, Reverse Engineering Stefano Spaccapietra Fred M aryanski Swiss Federal Institute of Technology University of Connecticut Lausanne, Switzerland Storrs, CT, USA REVIEW AND FUTURE DIRECTIONS In the last few years, database semantics research has turned sharply from a highly theoretical domain to one with more focus on practical aspects. The DS- 7 Working Conference held in October 1997 in Leysin, Switzerland, demon­ strated the more pragmatic orientation of the current generation of leading researchers. The papers presented at the meeting emphasized the two major areas: the discovery of semantics and semantic data modeling. The work in the latter category indicates that although object-oriented database management systems have emerged as commercially viable prod­ ucts, many fundamental modeling issues require further investigation. Today's object-oriented systems provide the capability to describe complex objects and include techniques for mapping from a relational database to objects. However, we must further explore the expression of information regarding the dimensions of time and space. Semantic models possess the richness to describe systems containing spatial and temporal data. The challenge of in­ corporating these features in a manner that promotes efficient manipulation by the subject specialist still requires extensive development.

Keywords

data mining database performance

Editors and affiliations

  • Stefano Spaccapietra
    • 1
  • Fred Maryanski
    • 2
  1. 1.Swiss Federal Institute of TechnologyLausanneSwitzerland
  2. 2.University of ConnecticutStorrsUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-35300-5
  • Copyright Information Springer Science+Business Media Dordrecht 1998
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4757-4910-6
  • Online ISBN 978-0-387-35300-5
  • Series Print ISSN 1868-4238
  • Series Online ISSN 1868-422X
  • About this book